You are viewing a plain text version of this content. The canonical link for it is here.
Posted to user@spark.apache.org by Anas Sherwani <an...@gmail.com> on 2015/07/21 18:18:35 UTC
Re: Spark MLlib instead of Mahout - collaborative filtering model
I have never used Mahout, so cannot compare the two. Spark MLlib, however,
provides matrix factorization based Collaborative Filtering
<http://spark.apache.org/docs/latest/mllib-collaborative-filtering.html>
using Alternating Least Squares algorithm.
Also, Singular Value Decomposition is handled by MLlib under Dimensionality
Reduction
<http://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html>
portion and Pearson/Spearman correlation is provided under Basic Statistics
<http://spark.apache.org/docs/latest/mllib-statistics.html> .
--
View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-MLlib-instead-of-Mahout-collaborative-filtering-model-tp23919p23934.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
For additional commands, e-mail: user-help@spark.apache.org